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Data Engineering, Data Governance, Data Management
The Case of Twitter Twitter handles around 500-700 million tweets per day, equating to roughly 12 terabytes of data every 24 hours. Another way to understand the scale is to consider that this amounts to over 4K terabytes of data each year. Even with an army of the...
Data Fabric, Data Governance, Data Quality, Data Security
In an ambitious effort to reduce the threat of cyber attacks on critical infrastructure in the United States, President Biden signed an executive order to improve cyber threat information sharing between the government and the private sector. Signed in May, the order...
Cybersecurity, Data Governance, Data Management
Data management isn't just a competitive differentiator in banking and financial services — it's a core business requirement. Despite financial services changing rapidly in response to global disruption and new technology, the industry’s data remains a key protected...
Data Governance, Data Security, Digital Transformation
Everyone knows that data is an important component of managing a successful business today. Yet many companies fail to fully align their data strategies with their business strategies, leading to disconnects that are quite painful. Some examples from the past year’s...
Business Intelligence, Data Governance, Data Management
Data democratization is one of the data world’s favorite buzzwords, but data management platforms have a hard time delivering it––even when they say they will. This article examines some of the goals and roadblocks on the way to data democratization and shows how...
Business Intelligence, Data Fabric, Data Governance, Data Management, Data Quality, Digital Transformation
I have the great pleasure of handling marketing strategy for The Modern Data Company. We recently refreshed our brand, which includes a completely revamped website and marketing materials. Branding is a labor of love. I work for one of the most exciting companies in...
Data governance is on everyone's mind as we move from a static model of data to a dynamic, living, breathing data architecture. As many brilliant people have already said, data — and knowledge in general — is full of "ghosts," or implicit knowledge existing within any...
Anyone who works with data knows that it’s long past time for data catalogs to catch up with the rest of the modern data stack. Data is no longer consumed primarily by the IT team. Today, data teams include data analysts, data scientists, product managers, business...
When people start a conversation about legacy systems, there’s a good chance that replacing the system comes up. And why not? Legacy systems don’t always have the newest bells and whistles, and they may not immediately signal a tech-forward business strategy....
Imagine losing billions of dollars each year simply because of a lack of visibility. This is a reality for distribution and supply chain organizations thanks to incomplete shipment data. In an industry already running on the thinnest margin, industry leaders are keen...